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import pandas as pd
import numpy as np
from lets_plot import *
LetsPlot.setup_html(isolated_frame=True)Project Notes
For Project 1 the answer to each question should include a chart and a written response. The years labels on your charts should not include a comma. At least two of your charts must include reference marks.
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import os
os.getcwd()
from p1_source import myNamePlotData
myNamePlotData| name | year | Total | |
|---|---|---|---|
| 86274 | Dallin | 1972 | 5.0 |
| 86275 | Dallin | 1978 | 6.0 |
| 86276 | Dallin | 1979 | 12.0 |
| 86277 | Dallin | 1980 | 9.0 |
| 86278 | Dallin | 1981 | 8.0 |
| 86279 | Dallin | 1982 | 14.0 |
| 86280 | Dallin | 1983 | 5.0 |
| 86281 | Dallin | 1984 | 32.0 |
| 86282 | Dallin | 1985 | 52.0 |
| 86283 | Dallin | 1986 | 51.0 |
| 86284 | Dallin | 1987 | 44.0 |
| 86285 | Dallin | 1988 | 71.0 |
| 86286 | Dallin | 1989 | 72.0 |
| 86287 | Dallin | 1990 | 73.0 |
| 86288 | Dallin | 1991 | 79.0 |
| 86289 | Dallin | 1992 | 91.0 |
| 86290 | Dallin | 1993 | 135.0 |
| 86291 | Dallin | 1994 | 132.0 |
| 86292 | Dallin | 1995 | 121.0 |
| 86293 | Dallin | 1996 | 142.0 |
| 86294 | Dallin | 1997 | 153.0 |
| 86295 | Dallin | 1998 | 159.0 |
| 86296 | Dallin | 1999 | 189.0 |
| 86297 | Dallin | 2000 | 187.0 |
| 86298 | Dallin | 2001 | 186.0 |
| 86299 | Dallin | 2002 | 198.0 |
| 86300 | Dallin | 2003 | 173.0 |
| 86301 | Dallin | 2004 | 155.0 |
| 86302 | Dallin | 2005 | 145.0 |
| 86303 | Dallin | 2006 | 133.0 |
| 86304 | Dallin | 2007 | 151.0 |
| 86305 | Dallin | 2008 | 151.0 |
| 86306 | Dallin | 2009 | 92.0 |
| 86307 | Dallin | 2010 | 91.0 |
| 86308 | Dallin | 2011 | 87.0 |
| 86309 | Dallin | 2012 | 68.0 |
| 86310 | Dallin | 2013 | 62.0 |
| 86311 | Dallin | 2014 | 66.0 |
| 86312 | Dallin | 2015 | 35.0 |
QUESTION|TASK 1
How does your name at your birth year compare to its use historically?
type your results and analysis here
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from p1_source import myNamePlot
myNamePlotQUESTION|TASK 2
If you talked to someone named Brittany on the phone, what is your guess of his or her age? What ages would you not guess?
type your results and analysis here
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from p1_source import brittanyPlot
brittanyPlotQUESTION|TASK 3
Mary, Martha, Peter, and Paul are all Christian names. From 1920 - 2000, compare the name usage of each of the four names in a single chart. What trends do you notice?
type your results and analysis here
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# Include and execute your code hereQUESTION|TASK 4
Think of a unique name from a famous movie. Plot the usage of that name and see how changes line up with the movie release. Does it look like the movie had an effect on usage?
type your results and analysis here
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# Include and execute your code hereSTRETCH QUESTION|TASK 1
Reproduce the chart Elliot using the data from the names_year.csv file.
type your results and analysis here
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# Include and execute your code here